Methods and systems include determining actions for agents in a driving scenario using a diffusion model, based on individual controllable behavior patterns for the agents. A state of the driving scenario is updated based on the determined actions for the plurality of agents. The determination of actions and the update of the state are repeated in a closed-loop fashion to generate simulated trajectories for the plurality of agents. A planner model is trained to select actions for an operating agent based on the simulated trajectories.


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    Title :

    CLOSED-LOOP SIMULATOR FOR MULTIAGENT BEHAVIOR WITH CONTROLLABLE DIFFUSION


    Contributors:

    Publication date :

    2025-05-08


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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